Data Scientist Lead - Vice President

Job Responsibilities

• Perform data exploration and analysis to assess distributions, data quality issues, leakage risks, missingness, bias, and anomalies, and define data readiness criteria.
• Conduct applied research to evaluate modeling approaches (classical machine learning, deep learning, and generative AI where relevant), and document findings, trade-offs, and recommendations.
• Build and improve models through feature engineering, error analysis, and interpretability techniques.
• Design and deploy generative AI applications, including fine-tuning, Retrieval-Augmented Generation systems, and agentic AI frameworks.
• Build and maintain automated machine learning workflows for training, evaluation, packaging, deployment, and monitoring with a focus on reliability and reproducibility.
• Apply infrastructure-as-code practices to provision and manage AWS resources for AI and machine learning workloads.
• Collaborate with engineers to define deployment and integration patterns (batch, real-time, event-driven) and testing strategies.
• Design and implement testing strategies (unit, component, integration, end-to-end, performance, and champion/challenger where appropriate).
• Mentor team members on coding practices, AI and machine learning best practices, and maintainable implementation patterns.
• Contribute to design reviews, operational readiness reviews, and documentation to raise overall engineering quality.
• Support delivery in regulated environments by participating in documentation, reviews, and audit readiness activities.

Required Qualifications, Capabilities, And Skills

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field with 7+ years of relevant experience.
• Hands-on experience with data exploration and data validation (leakage, bias, missingness, outliers, and data quality) using frameworks such as PySpark, pandas, or Dask.
• Proficiency in Python for data science and modeling with production-quality coding practices and comprehensive testing.
• Proficiency with machine learning frameworks such as PyTorch, TensorFlow, PyTorch Lightning, or scikit-learn.
• Proficiency with cloud-based development on AWS.
• Experience applying natural language processing and large language model techniques such as prompt engineering, embeddings, and retrieval patterns.
• Experience building APIs (for example, FastAPI).
• Experience packaging and deploying containerized machine learning services (Docker; Kubernetes, ECS, or EKS).
• Experience operating on AWS services such as S3, IAM, CloudWatch, ECS, and SageMaker and/or Bedrock.
• Exposure to infrastructure-as-code tooling such as Terraform.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.